@vfarcic
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AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance.
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DevOps AI Toolkit is an AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance. It integrates with MCP-enabled tools like Claude Code, Cursor, or VS Code to provide Kubernetes deployment intelligence, documentation testing, organizational pattern management, and a shared prompts library.
Configure an MCP client (e.g., Claude Code) to connect to the DevOps AI Toolkit MCP server, typically using a Docker Compose setup. Set the ANTHROPIC_API_KEY environment variable (required for most features) and optionally OPENAI_API_KEY for pattern management. Then interact via natural language or slash commands in your AI tool.
A Claude API key (`ANTHROPIC_API_KEY`) is required for AI analysis in Kubernetes deployment and documentation testing. An OpenAI API key is additionally required for organizational pattern management. The shared prompts library works with any MCP-enabled coding agent and does not require an API key.
For Kubernetes features: `kubectl` configured with cluster access. For documentation testing: file system access to documentation files. For pattern management: a Qdrant Vector DB service. The recommended Docker Compose setup includes all components except external keys and kubectl access.
Yes. Documentation testing and the shared prompts library do not require a Kubernetes cluster. The shared prompts library works with any MCP-enabled coding agent.
Verify environment variables are correctly configured in your `.mcp.json` file, check that the session directory exists and is writable, and ensure `ANTHROPIC_API_KEY` is valid. For Kubernetes errors, verify kubectl connectivity with `kubectl cluster-info`.
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